conf_utils.py

import tensorflow as tf
import os

def prepare_conf(conf):
    conf.filter_w = conf.embedding_size
    conf.context_size += conf.filter_h/2
    
    # Check if data exists
    if not os.path.exists(conf.data_dir):
        exit("Please download the data as mentioned in Requirements")

    # Create paths for checkpointing
    ckpt_model_path = 'vocab%d_embed%d_filters%d_batch%d_layers%d_block%d_fdim%d'%(conf.vocab_size, conf.embedding_size, 
            conf.filter_size, conf.batch_size, conf.num_layers, conf.block_size, conf.filter_h)
    conf.ckpt_path = os.path.join(conf.ckpt_path, ckpt_model_path)

    if not os.path.exists(conf.ckpt_path):
        os.makedirs(conf.ckpt_path)
    conf.ckpt_file = os.path.join(conf.ckpt_path, "model.ckpt")

    # Create Logs Folder
    if tf.gfile.Exists(conf.summary_path):
        tf.gfile.DeleteRecursively(conf.summary_path)
    tf.gfile.MakeDirs(conf.summary_path)

    return conf